Protein fold recognition with a two-layer method based on SVM-SA, WP-NN and C4.5 (TLM-SNC)
by Mohammad Hossein Zangooei; Saeed Jalili
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 8, No. 2, 2013

Abstract: The structural knowledge of protein is crucial in understanding its biological role. An effort is made to assign a fold to a given protein in a protein fold recognition problem. A computational Two-Layer Method (TLM) based on the Support Vector Machine (SVM), the Neural Network (NN) and the Decision Tree (C4.5) has been developed in this study for the assignment of a protein sequence to a folding class in SCOP. Prediction accuracy is measured on a dataset and the accuracy of the proposed method is very promising in comparison with other classification methods.

Online publication date: Mon, 20-Oct-2014

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